Japan Generative AI Market Size & Insights

According to MarkNtel Advisors study The future of Japan Generative AI Market size was valued at around USD 983.5 million in 2024 and is projected to reach USD 1,664.01 million by 2030. Along with this, the market is estimated to grow at a CAGR of around 9.16% during the forecast period, i.e., 2025-30.

What are the Key Driver in the Japan Generative AI Market?

Healthcare Digital Transformation Drives Market Growth – The technological advances, such as Generative AI models in the healthcare sector, are extensively used for imaging & scanning of diseases and drug discovery. Additionally, for a growing need for automated medical records and customizing treatment plans for efficient and better treatment, the generative AI models are in high demand.

The use of generative AI models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in diagnosis has surged lately because of the accuracy and automated diagnosis of illnesses like tumors, fractures, clots, and others, which require frequent and precise analysis to check the status and course of treatment. The growing cases of tumors and accidents, with approximately 979,300 new cancer cases in 2024, as per the National Cancer Centre, and about 343,750 casualties in Japan in 2024. Such increasing numbers and cases surge the demand for diagnosis in the country. 

Moreover, several MedTech companies are actively integrating generative AI models into medical equipment. For instance, NEC Bio is using generative AI in their T-cell receptors to identify the cancer cells. Similarly, Fujitsu & RIKEN, Fujifilm Medical Systems, and others are using generative AI in drug discovery and diagnostics equipment to attain more precise and detailed detection, thus enhancing the accuracy of the output scans and enlarging the drug library of Japan. Thus, such active usage of generative AI models and their integration across several diagnostics platforms and the healthcare sector for the efficient diagnosis, findings, and treatment drive the growth of the market in Japan.

What are the Key Segments in the Japan Generative AI Market?

The Japan Generative AI is categorized into notable segments, which help in understanding the structure, dynamics, and opportunities within the market. These segments are typically based on:

• By Model Type
  • Large Language Models (LLMs) – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Text-to-Image Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Text-to-Video Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Text-to-Speech Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Speech-to-Text Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Code Generation Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Music & Audio Generation Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Multimodal Models – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Other Generative Models – Market Size & Forecast 2025–2030, USD Million & Million Units
• By Component
  • Software/Platform – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Services – Market Size & Forecast 2025–2030, USD Million & Million Units
    • Consulting
    • Integration & Deployment
    • Support & Maintenance
• By Deployment Mode
  • Cloud-Based – Market Size & Forecast 2025–2030, USD Million & Million Units
  • On-Premises – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Hybrid – Market Size & Forecast 2025–2030, USD Million & Million Units
• By End-User Industry
  • BFSI (Banking, Financial Services, and Insurance) – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Healthcare & Life Sciences – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Retail & E-Commerce – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Media & Entertainment – Market Size & Forecast 2025–2030, USD Million & Million Units
  • IT & Telecom – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Manufacturing – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Automotive – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Education – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Government & Public Sector – Market Size & Forecast 2025–2030, USD Million & Million Units
  • Others (Legal, Energy, Logistics, etc.) – Market Size & Forecast 2025–2030, USD Million & Million Units
• By Distribution Channel
  • Direct Sales
  • System Integrators
  • Value-Added Resellers
  • Online Platforms
  • Others

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Who are the Key Players in Japan Generative AI Market?

Preferred Networks, Inc., Fujitsu Limited, NEC Corporation, SoftBank Group Corp., NTT Data Corporation, Sony AI (Sony Group Corporation), Hitachi, Ltd., Rakuten Group, Inc., LINE Corporation (LY Corporation), Cogent Labs Inc., and others

Japan Generative AI Market News

2025: NEC Corporation has utilized its video analysis and generative AI to develop a technology that provides advice for improving worker performance by identifying differences between model actions and actual movements. This newly developed technology enables the automatic display of appropriate advice for improving everything from precision tasks using one’s hands and fingers to tasks requiring the use of the entire body.

2025: Fujitsu piloted an on-device generative AI solution using Microsoft’s Phi-4 model, in collaboration with Headwaters and Japan Airlines. The initiative aimed to streamline cabin crew handover workflows by enabling real-time, secure summarization and task management directly on edge devices, enhancing operational efficiency.

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Why This MarkNtel Advisors Research Report:

• In-depth Market Analysis: Understand trends and dynamics shaping growth.
• Segmented Insights: Target specific segments for focused strategies.
• Geographical Performance: Assess market opportunities by geographic area.
• Emerging Technologies: Discover advancements like AI integration.
• Risk Identification: Pinpoint challenges to inform strategic planning.
• Future Forecasts: Prepare for market changes with actionable projections.

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